Sat.Feb 10, 2024 - Fri.Feb 16, 2024

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How Are Conversational and Generative AI Tools Impacting Communication? 

insideBIGDATA

In this contributed article, Nate MacLeitch, CEO of QuickBlox, believes that communication is good; AI-enhanced communication is great. AI’s ability to offer services like tone assistance, quick-answer responses, real-time translation, and audio-to-text conversions facilitates collaborative efforts among professionals, patients, and customers, regardless of their background.

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Microsoft Reveals How Hackers Are Using GenAI Tools

Analytics Vidhya

Microsoft, in collaboration with OpenAI, has revealed a concerning trend in the realm of cybersecurity: the utilization of generative artificial intelligence (GenAI) by hostile states for offensive cyber operations. Highlighting the involvement of countries such as Iran, North Korea, Russia, and China, Microsoft sheds light on the evolving landscape of cyber warfare.

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Semantic Layers are the Missing Piece for AI-Enabled Analytics

KDnuggets

Integrating a semantic layer with Language Learning Models (LLMs) presents a clean solution to this, particularly in the realm of AI chatbots. This combination empowers businesses to generate fast responses and reports based on their data. Leveraging AI and semantic layers is advancing business intelligence, making it easier than ever for people to interact with data.

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Databricks adds new migration Brickbuilder Solutions to help customers succeed with AI

databricks

For the past two years, Databricks has collaborated with leading consulting partners to build innovative solutions for industry, migration, and data and AI.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Scaling Data Quality with Computer Vision on Spatial Data

insideBIGDATA

In this contributed article, editorial consultant Jelani Harper discusses a number of hot topics today: computer vision, data quality, and spatial data. Computer vision is an extremely viable facet of advanced machine learning for the enterprise. Its utility for data quality is evinced from some high profile use cases. This technology can produce similar boons for other facets of the ever-shifting data ecosystem.

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Top Data Science Specializations for 2024

Analytics Vidhya

Introduction Data Science is everywhere in the 21st century and has emerged as an innovative field. But what exactly is Data Science? And why should one consider specializing in it? This blog post aims to answer these questions and more. Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to […] The post Top Data Science Specializations for 2024 appeared first on Analytics Vidhya.

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How to Generate Synthetic Data for Pretraining and Finetuning

Eugene Yan

Distillation vs. self-improvement across the three stages of language model training.

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Why is Facebook chirping and how to stop it?

Dataconomy

“Why is Facebook chirping when I scroll?” is today’s question for millions of users of Facebook, including me. Ever been scrolling through Facebook on your iPhone, only to hear a weird sound that seems to come out of nowhere? You’re not alone. Some iPhone users have noticed this odd “newsfeed sound” while browsing their social media updates.

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Google Introduces Gemini 1.5: The Next Evolution in AI Models

Analytics Vidhya

Google continues its stride in AI development with the introduction of Gemini 1.5, the latest iteration in its Gemini family of GenAI models. Following closely on the heels of Gemini 1.0, launched just a few months ago, this new model promises significant enhancements in performance, efficiency, and capabilities. Let’s delve deeper into what Gemini 1.5 […] The post Google Introduces Gemini 1.5: The Next Evolution in AI Models appeared first on Analytics Vidhya.

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Master The Art Of Command Line With This GitHub Repository

KDnuggets

Whether you are a beginner or an experienced user, this guide is perfect for familiarizing yourself with basic and advanced command line tools.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Disrupting malicious uses of AI by state-affiliated threat actors

Hacker News

We terminated accounts associated with state-affiliated threat actors. Our findings show our models offer only limited, incremental capabilities for malicious cybersecurity tasks.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Remember how cool it felt when you first held a smartphone in your hand? The compact design and touch-based interactivity seemed like a leap into the future. Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating.

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Let the Sunburst! — The complete Guide On How To Plot Sunburst Charts in Plotly

Towards AI

Last Updated on February 18, 2024 by Editorial Team Author(s): Arslan Shahid Originally published on Towards AI. A beginner to advanced guide to sunburst charts in PlotlyImage by the Author After three years of working in data-related roles, I can safely say that the most underrated skill is good data visualization. Having a toolbox of visualization kits available at your disposal is crucial.

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7 Steps to Mastering Exploratory Data Analysis

KDnuggets

A Step-by-Step Approach to Unearthing Trends, Outliers, and Insights in your Data.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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How an African streaming service dethroned Netflix

Hacker News

Showmax sits at the top of the market with a vast library of local content, partnerships with Comcast and HBO, and exclusive access to the biggest football leagues in the world.

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Race and Occupation

FlowingData

About 22 percent of physicians in the United States are Asian, but Asian people only make up about 6 percent of the full working population. Compare the former to the latter, and you could say that Asian people are about 3.5 times more likely to be physicians. Are there other jobs that jump out? What’s it like for other races and ethnicity?

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Direct Uses of Large Language Models in Modern Science and Technology

Towards AI

Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. An overview plus examples from the public and private sectors applying cutting-edge LLMs to research and developmentImage composed by the author from free screenshots and Dall-E-3 generations. All other figures of this post were generated in similar ways. In the age of big data and in a highly scientific and technological society where fundamental and applied research advances with huge steps, it is clear that AI

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Large Language Models Explained in 3 Levels of Difficulty

KDnuggets

Simple explanations, no matter what your level is right now.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Amazon and SpaceX are quietly trying to demolish national labor law

Hacker News

Amazon alleged in a legal filing published Friday morning that the National Labor Relations Board (NLRB) is unconstitutional. SpaceX and Trader Joe’s — companies that, like Amazon, have repeatedly faced labor law violations from the federal agency — have recently made similar attacks that threaten national worker protections.

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Oracle Cloud Has Achieved Momentum Through Differentiation

MoorInsights for Forbes

Analyst Matt Kimball explores Oracle Cloud Infrastructure's performance and products of 2023 to explain how it is succeeding in a market dominated by the Big Three CSPs.

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Hands-On LangChain for LLMs App: Chat with Your Files

Towards AI

Last Updated on February 16, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. In previous articles, we have explored the journey from loading documents to creating a vector store, discussing the limitations of existing models in handling follow-up questions and engaging in real conversations. The good news is that we’re addressing these issues by introducing chat history into LangChain.

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Ask a Data Ethicist: Can We Trust Unexplainable AI?

Dataversity

In last month’s column, I asked readers to send in their “big questions” when it comes to data and AI. This month’s question more than answered that call! It encompasses the enormous areas of trust in AI tools and explainability. How can we know if an AI tool is delivering an ethical result if we have […] The post Ask a Data Ethicist: Can We Trust Unexplainable AI?

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Stop Basing Your Self-Worth on Other People’s Opinions

Hacker News

Self-worth is our set of core beliefs about our value as a human being. It’s how we see ourselves and who we perceive ourselves to be. People differ in what they believe they must be or do to have worth or value. When we externalize our self-worth, we get emotionally and chemically rewarded when we succeed. This inevitably turns into a never-ending loop in pursuit of instant gratification.

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Code Llama 70B is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

Today, we are excited to announce that Code Llama foundation models, developed by Meta, are available for customers through Amazon SageMaker JumpStart to deploy with one click for running inference. Code Llama is a state-of-the-art large language model (LLM) capable of generating code and natural language about code from both code and natural language prompts.

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How to Build Your Own LLM Coding Assistant With Code Llama ?

Towards AI

Author(s): Dr. Leon Eversberg Originally published on Towards AI. Creating a local LLM chatbot with CodeLlama-7b-Instruct-hf and StreamlitThe coding assistant chatbot we will build in this article In this hands-on tutorial, we will implement an AI code assistant that is free to use and runs on your local GPU. You can ask the chatbot questions, and it will answer in natural language and with code in multiple programming languages.

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5 reasons to use VS Code for your SAS code projects

SAS Software

The SAS extension for VS Code supports SAS syntax and programming, and can connect to almost all SAS environments. The post 5 reasons to use VS Code for your SAS code projects appeared first on SAS Blogs.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Video generation models as world simulators

Hacker News

We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video.

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Apple Vision Pro: A Beautiful, Flawed Bridge To The Future

MoorInsights for Forbes

Longtime XR analyst Anshel Sag takes a deep dive into the Apple Vision Pro headset after a week of using it, adding his insights on what it means for the XR industry.

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How to brief your company’s Board About Generative AI With Visuals?

Towards AI

Author(s): Sathesh Sriskandarajah Originally published on Towards AI. Photo by Hunters Race on Unsplash It was the middle of 2023, and I received a LinkedIn message from the CEO of an organization. He had read one of my previous publications in artificial intelligence and wanted to catch up for a meeting urgently. Later that week he came and met me at my office accompanied with some of his management team.

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Google Gemini 1.5 Pro is the most advanced AI model we’ve seen so far

Dataconomy

Google has set a new benchmark with the unveiling of its latest creation, Google Gemini 1.5 Pro. This AI model builds upon the success of its predecessor, Gemini 1.0 , delivering even greater efficiency, versatility, and long-context understanding. Let’s take a deep dive into the groundbreaking features of Google Gemini 1.5 Pro and explore the transformative potential it holds for developers, enterprises, and everyday users.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.